Distributed Fast Self-Organized Maps for Massive Spectrophotometric Data Analysis †

Analyzing huge amounts of data becomes essential in the era of Big Data, where databases are populated with hundreds of Gigabytes that must be processed to extract knowledge. Hence, classical algorithms must be adapted towards distributed computing methodologies that leverage the underlying computat...

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Detalles Bibliográficos
Autores principales: Dafonte, Carlos, Garabato, Daniel, Álvarez, Marco A., Manteiga, Minia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982635/
https://www.ncbi.nlm.nih.gov/pubmed/29751580
http://dx.doi.org/10.3390/s18051419

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982635/
https://www.ncbi.nlm.nih.gov/pubmed/29751580
http://dx.doi.org/10.3390/s18051419

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